Aim: To evaluate labour market outcomes in type 1 or type 2 diabetes.
Methods: Individuals with type 1 (n = 431) and type 2 diabetes (n = 4047) were identified in Danish national registers from 1994 to 2011 and compared with individuals without diabetes (n = 101 295). Multi-state Cox proportional hazards analyses estimated hazard ratios (HR) with 95% confidence intervals (CI) for transitions between work, sickness absence, unemployment and disability pension.
Results: We observed significantly higher HR of sickness absence in type 1 diabetes (women: 1.34, 95% CI 1.12-1.62; men: 1.43, 1.01-2.03) and type 2 diabetes (women: 1.46, 95% CI 1.35-1.58; men: 1.64, 1.46-1.85) compared with people without diabetes. HR of unemployment was higher for men with type 1 diabetes (1.25, 95% CI 1.01-1.53) and women with type 2 diabetes (1.09, 95% CI 1.03-1.16) and men with type 2 diabetes (1.17, 95% CI 1.08-1.27). HR of disability pension was higher in type 1 diabetes (women: 1.90, 95% CI 1.46-2.46; men: 2.09, 1.38-3.18) and type 2 diabetes (women: 1.78, 95% CI 1.62-1.96; men: 2.11, 1.86-2.40). Only women with type 2 diabetes were less likely to return to work from sickness absence (HR 0.91, 95% CI 0.86-0.98) or unemployment (0.89, 95% CI 0.85-0.94). We found no significant difference between the two types of diabetes. Hazard ratios for diabetes regarding unemployment, sickness absence while unemployed and disability pension were significantly higher for men than for women.
Conclusions: Both type 1 and type 2 diabetes affect labour market outcomes, but future studies should also consider comorbidity and social gradient.
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http://dx.doi.org/10.1111/dme.14203 | DOI Listing |
Nat Methods
January 2025
Broad Institute of MIT and Harvard, Cambridge, MA, USA.
A key challenge of the modern genomics era is developing empirical data-driven representations of gene function. Here we present the first unbiased morphology-based genome-wide perturbation atlas in human cells, containing three genome-wide genotype-phenotype maps comprising CRISPR-Cas9-based knockouts of >20,000 genes in >30 million cells. Our optical pooled cell profiling platform (PERISCOPE) combines a destainable high-dimensional phenotyping panel (based on Cell Painting) with optical sequencing of molecular barcodes and a scalable open-source analysis pipeline to facilitate massively parallel screening of pooled perturbation libraries.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
With the rapid advancement of proteomics, numerous scholars have investigated the intricate relationships between plasma proteins and various diseases. Therefore, this study aims to elucidate the relationship between BDH1 and type 2 diabetes using Mendelian randomization (MR) and to identify novel targets for the prevention and treatment of type 2 diabetes through proteomics. This study primarily employed the Mendelian Randomization (MR) method, leveraging genetic data from numerous large-scale, publicly accessible genome-wide association studies (GWAS).
View Article and Find Full Text PDFIntroduction: The most frequent form of diabetes in pediatric patients is polygenic autoimmune diabetes (T1D), but single-gene variants responsible for autoimmune diabetes have also been described. Both disorders share clinical features, which can lead to monogenic forms being misdiagnosed as T1D. However, correct diagnosis is crucial for therapeutic choice, prognosis and genetic counseling.
View Article and Find Full Text PDFBr J Nutr
January 2025
Laboratório de Nutrição e Metabolismo, Faculdade de Nutrição, Universidade Federal de Alagoas, Maceió, Brazil.
To determine the prevalence of FA in individuals with type 2 diabetes and to assess the association between FA and type 2 diabetes. MEDLINE, EMBASE, Web of Sciences, Latin American and Caribbean Literature in Health Sciences, ScienceDirect, Scopus, and PsycINFO were searched until November 2024. This study was registered with PROSPERO (CRD42023465903).
View Article and Find Full Text PDFSLAS Discov
January 2025
Bonds Biosystems, 27 Strathmore Rd, Natick, MA, USA. Electronic address:
Obesity and type 2 diabetes (T2D) are strongly linked to abnormal adipocyte metabolism and adipose tissue (AT) dysfunction. However, existing adipose tissue models have limitations, particularly in the stable culture of fat cells that maintain physiologically relevant phenotypes, hindering a deeper understanding of adipocyte biology and the molecular mechanisms behind differentiation. Current model systems fail to fully replicate in vivo metabolism, posing challenges in adipose research.
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